[P] Deep Reinforcement Learning Free Course • r/MachineLearning

Hello, I'm currently writing a series of free articles about Deep Reinforcement Learning, where we'll learn the main algorithms (from Q* learning to PPO), and how to implement them in Tensorflow. I wrote these articles because I wanted to have articles that begin with the big picture (understand the concept in simpler terms), then the mathematical implementation and finally a Tensorflow implementation explained step by step (each part of the code is commented). And too much articles missed the implementation part or just give the code without any comments. Let me see what you think! What architectures you want and any feedback.